Mechanistic insights into sodium ion-mediated ligand binding affinity and modulation of 5-HT2B GPCR activity: implications for drug discovery and development.

PURPOSE: The G-protein coupled receptor (GPCR) family, implicated in neurological disorders and drug targets, includes the sensitive serotonin receptor subtype, 5-HT2B. The influence of sodium ions on ligand binding at the receptor's allosteric region is being increasingly studied for its impact on receptor structure. METHODS: High-throughput virtual screening of three libraries, specifically the Asinex-GPCR library, which contains 8,532 compounds and FDA-approved (2466 compounds) and investigational compounds (2731)) against the modeled receptor [4IB4-5HT2BRM] using the standard agonist/antagonist (Ergotamine/Methysergide), as previously selected from our studies based on ADMET profiling, and further on basis of binding free energy a single compound - dihydroergotamine is chosen. RESULTS: This compound displayed strong interactions with the conserved active site. Ions influence ligand binding, with stronger interactions (3-H-bonds and 1-π-bond around 3.35 Å) observed when an agonist and ions are present. Ions entry is guided by conserved motifs in helices III, IV, and VII, which regulate the receptor. Dihydroergotamine, the selected drug, showed binding variance based on ions presence/absence, affecting amino acid residues in these motifs. DCCM and PCA confirmed the stabilization of ligands, with a greater correlation (∼46.6%-PC1) observed with ions. Dihydroergotamine-modified interaction sites within the receptor necessary for activation, serving as a potential 5HT2BRM agonist. RDF analysis showed the sodium ions density around the active site during dihydroergotamine binding. CONCLUSION: Our study provides insights into sodium ion mobility's role in controlling ligand binding affinity in 5HT2BR, offering therapeutic development insights.

Mind over Microbes: Investigating the Interplay between Lifestyle Factors, Gut Microbiota, and Brain Health.

BACKGROUND: The gut microbiota (GM) of the human body comprises several species of microorganisms. This microorganism plays a significant role in the physiological and pathophysiological processes of various human diseases. METHODS: The literature review includes studies that describe causative factors that influence GM. The GM is sensitive to various factors like circadian rhythms, environmental agents, physical activity, nutrition, and hygiene that together impact the functioning and composition of the gut microbiome. This affects the health of the host, including the psycho-neural aspects, due to the interconnectivity between the brain and the gut. Hence, this paper examines the relationship of GM with neurodegenerative disorders in the context of these aforesaid factors. CONCLUSION: Future studies that identify the regulatory pathways associated with gut microbes can provide a causal link between brain degeneration and the gut at a molecular level. Together, this review could be helpful in designing preventive and treatment strategies aimed at GM, so that neurodegenerative diseases can be treated.

Screening and identification of phytochemical drug molecules against mutant BRCA1 receptor of breast cancer using computational approaches.

The American Cancer Society claims that breast cancer is the second most significant cause of cancer-related death, with over one million women diagnosed each year. Breast cancer linked to the BRCA1 gene has a significant risk of mortality and recurrence and is susceptible to alteration or over-expression, which can lead to hereditary breast cancer. Given the shortage of effective and possibly curative treatments for breast cancer, the present study combined molecular and computational analysis to find prospective phytochemical substances that can suppress the mutant gene (BRCA1) that causes the disease. Virtual screening and Molecular docking approaches are utilized to find probable phytochemicals from the ZINC database. The 3D structure of mutant BRCA1 protein with the id 3PXB was extracted from the NCBI-PDB. Top 10 phytochemical compounds shortlisted based on molecular docking score between - 11.6 and - 13.0. Following the ADMET properties, only three (ZINC000085490903 = - 12.50, ZINC000085490832 = - 12.44, and ZINC000070454071 = - 11.681) of the 10 selected compounds have drug-like properties. The molecular dynamic simulation study of the top three potential phytochemicals showed stabilized RMSD and RMSF values as compared to the APO form of the BRCA1 receptor. Further, trajectory analysis revealed that approximately similar radius of gyration score tends to the compactness of complex structure, and principal component and cross-correlation analysis suggest that the residues move in a strong correlation. Thermostability of the target complex (B-factor) provides information on the stable energy minimized structure. The findings suggest that the top three ligands show potential as breast cancer inhibitors.

Promising traditional Indian medicinal plants for the management of novel Coronavirus disease: A systematic review.

Traditional Indian medical practices (Ayurveda, Siddha, Unani, and homeopathy) are a vast reservoir of knowledge about medicinal plants. The promising pharmacological properties of these plants have paved the way for developing therapy against novel Coronavirus (CoV) infection. The current review will summarize published works of literature on the effects of traditional Indian medicinal plants against acute respiratory infection (COVID-19, SARS, Influenza, and Respiratory syncytial virus infection) and registered clinical trials of traditional Indian herbal medicines in COVID-19. The current study aims to comprehensively evaluate the data of traditional Indian medicinal plants to warrant their use in COVID-19 management. PubMed, Embase, and Cochrane databases were searched along with different clinical trial databases. A total of 22 relevant traditional Indian medicinal plants (35 relevant studies) were included in the current study having potential antiviral properties against virus-induced respiratory illness along with promising immunomodulatory and thrombolytic properties. Further, 36 randomized and nonrandomized registered clinical trials were also included that were aimed at evaluating the efficacy of herbal plants or their formulations in COVID-19 management. The antiviral, immunomodulatory, and thrombolytic activities of the traditional Indian medicinal plants laid down a strong rationale for their use in developing therapies against SARS-CoV-2 infection. The study identified some important potential traditional Indian medicinal herbs such as Ocimum tenuiflorum, Tinospora cordifolia, Achyranthes bidentata, Cinnamomum cassia, Cydonia oblonga, Embelin ribes, Justicia adhatoda, Momordica charantia, Withania somnifera, Zingiber officinale, Camphor, and Kabusura kudineer, which could be used in therapeutic strategies against SARS-CoV-2 infection.

Virological and clinical cure in COVID-19 patients treated with hydroxychloroquine: A systematic review and meta-analysis.

Following the demonstration of the efficacy of hydroxychloroquine against severe acute respiratory syndrome coronavirus 2 in vitro, many trials started to evaluate its efficacy in clinical settings. However, no systematic review and meta-analysis have addressed the issue of the safety and efficacy of hydroxychloroquine (HCQ) in coronavirus disease 2019. We conducted a systematic review and meta-analysis with the objectives of evaluation of safety and efficacy of HCQ alone or in combination in terms of "time to clinical cure," "virological cure," "death or clinical worsening of disease," "radiological progression," and safety. RevMan was used for meta-analysis. We searched 16 literature databases out of which seven studies (n = 1358) were included in the systematic review. In terms of clinical cure, two studies reported possible benefit in "time to body temperature normalization" and one study reported less "cough days" in the HCQ arm. Treatment with HCQ resulted in less number of cases showing the radiological progression of lung disease (odds ratio [OR], 0.31, 95% confidence interval [CI], 0.11-0.9). No difference was observed in virological cure (OR, 2.37, 95% CI, 0.13-44.53), death or clinical worsening of disease (OR, 1.37, 95% CI, 1.37-21.97), and safety (OR, 2.19, 95% CI, 0.59-8.18), when compared with the control/conventional treatment. Five studies reported either the safety or efficacy of HCQ + azithromycin. Although seems safe and effective, more data are required for a definitive conclusion. HCQ seems to be promising in terms of less number of cases with radiological progression with a comparable safety profile to control/conventional treatment. We need more data to come to a definite conclusion.

Magnetic resonance fingerprinting based on realistic vasculature in mice.

Magnetic resonance fingerprinting (MRF) was recently proposed as a novel strategy for MR data acquisition and analysis. A variant of MRF called vascular MRF (vMRF) followed, that extracted maps of three parameters of physiological importance: cerebral oxygen saturation (SatO2), mean vessel radius and cerebral blood volume (CBV). However, this estimation was based on idealized 2-dimensional simulations of vascular networks using random cylinders and the empirical Bloch equations convolved with a diffusion kernel. Here we focus on studying the vascular MR fingerprint using real mouse angiograms and physiological values as the substrate for the MR simulations. The MR signal is calculated ab initio with a Monte Carlo approximation, by tracking the accumulated phase from a large number of protons diffusing within the angiogram. We first study the identifiability of parameters in simulations, showing that parameters are fully estimable at realistically high signal-to-noise ratios (SNR) when the same angiogram is used for dictionary generation and parameter estimation, but that large biases in the estimates persist when the angiograms are different. Despite these biases, simulations show that differences in parameters remain estimable. We then applied this methodology to data acquired using the GESFIDE sequence with SPIONs injected into 9 young wild type and 9 old atherosclerotic mice. Both the pre injection signal and the ratio of post-to-pre injection signals were modeled, using 5-dimensional dictionaries. The vMRF methodology extracted significant differences in SatO2, mean vessel radius and CBV between the two groups, consistent across brain regions and dictionaries. Further validation work is essential before vMRF can gain wider application.

Surface engineering of SPIONs: role of phosphonate ligand multivalency in tailoring their efficacy.

We report the design of scaffolds containing mono-, bis-, and tris-phosphonate coordinating groups, and a polyethylene glycol chain, for stabilizing superparamagnetic iron oxide nanoparticles (SPIONs), using simple and versatile chemistry. We demonstrate that the number of anchoring phosphonate sites on the ligand influence the colloidal stability, magnetic and biological properties of SPIONs, and the latter do not solely depend on attaching moieties that can enhance their aqueous dispersion. These parameters can be tailored by the number of conjugation sites on the ligand, as evidenced from dynamic light scattering at various salt concentrations, magnetic relaxivities and cell viability studies.

Role of neuroimaging in drug development.

The development of new molecular imaging techniques has bridged the gap between preclinical and clinical research. During the last decade, the developments in imaging strategies have taken a great leap by the advancements in new imaging scanners, development of pharmaceutical drugs, diagnostic agents, and new therapeutic regimens that made significant improvements in health care. The knowledge gained from imaging techniques in preclinical research can be applicable to the patients. Similarly, the problems from clinical studies with humans can be tested and studied in preclinical studies. The appropriate application of molecular imaging to drug discovery and development can markedly reduce costs and the time required for new drug development. Some imaging techniques, such as computed tomography (CT) or magnetic resonance imaging (MRI), reveal anatomical images, and single-photon emission computed tomography (SPECT), SPECT/positron emission tomography (PET), and PET show functional images. These developing molecular or neuroimaging methods provide increasingly detailed structural and functional information about the nervous system. The basic principles of each technique are described followed by examples of the current applications to cutting-edge neuroscience research. In summary, it is shown that neuroimaging continues to grow and evolve, embracing new technologies and advancing to address ever more complex and important neuroscience questions.

Unravelling benzazepines and aminopyrimidine as multi-target therapeutic repurposing drugs for EGFR V774M mutation in neuroglioma patients.

Introduction: Neuroglioma, a classification encompassing tumors arising from glial cells, exhibits variable aggressiveness and depends on tumor grade and stage. Unraveling the EGFR gene alterations, including amplifications (unaltered), deletions, and missense mutations (altered), is emerging in glioma. However, the precise understanding of emerging EGFR mutations and their role in neuroglioma remains limited. This study aims to identify specific EGFR mutations prevalent in neuroglioma patients and investigate their potential as therapeutic targets using FDA-approved drugs for repurposing approach. Methods: Neuroglioma patient's data were analyzed to identify the various mutations and survival rates. High throughput virtual screening (HTVS) of FDA-approved (1615) drugs using molecular docking and simulation was executed to determine the potential hits. Results: Neuroglioma patient samples (n=4251) analysis reveals 19% EGFR alterations with most missense mutations at V774M in exon 19. The Kaplan-Meier plots show that the overall survival rate was higher in the unaltered group than in the altered group. Docking studies resulted the best hits based on each target's higher docking score, minimum free energy (MMGBSA), minimum kd, ki, and IC50 values. MD simulations and their trajectories show that compounds ZINC000011679756 target unaltered EGFR and ZINC000003978005 targets altered EGFR, whereas ZINC000012503187 (Conivaptan, Benzazepine) and ZINC000068153186 (Dabrafenib, aminopyrimidine) target both the EGFRs. The shortlisted compounds demonstrate favorable residual interactions with their respective targets, forming highly stable complexes. Moreover, these shortlisted compounds have drug- like properties as assessed by ADMET profiling. Conclusion: Therefore, compounds (ZINC000012503187 and ZINC000068153186) can effectively target both the unaltered/altered EGFRs as multi-target therapeutic repurposing drugs towards neuroglioma.

Mechanistic Regulation of Epidermal Growth Factor and Hormonal Receptors by Kinase Inhibitors and Organofluorines in Breast Cancer Therapy.

Differential expression patterns of growth factor (EGFR, HER-2) and hormonal (ER, PR) receptors in breast cancer (BC) remain crucial for evaluating and tailoring therapeutic interventions. This study investigates differential expression profiles of hormonal and growth factor receptors in BC patients and across age groups, major subclasses, disease stages and tumor histology and survival rates, the efficacy of emerging clinical trial drugs (Dabrafenib and Palbociclib) and elucidating their molecular interaction mechanisms for efficient therapeutic strategies. Gene and protein expression analysis in the normal vs BC and across age groups and major subclasses reveals divergent patterns as EGFR and HER-2 levels are reduced in tumors versus normal tissue, while ER and PR levels are higher, particularly in luminal subtypes. However, there was no significant difference in survival rates among high and low/medium expression levels of EGFR and PR receptors. Conversely, patients with high HER-2 and ER expression exhibited poorer survival rates compared to low or medium expression levels. The in vitro findings indicate that Dabrafenib exhibits greater effectiveness than Palbociclib in suppressing various BC cells such as MCF-7 (Luminal), MDA-MB-231 (Triple-Negative), SKBR-3 (HER-2 + ) proliferation, promoting cell death, (IC50 of Dab < Pal) at 24 and 48 h, ROS production, and reduced ER and PR, elevated HER-2 with no change in EGFR expression. Molecular simulation studies revealed Dabrafenib's thermodynamically stable interactions (ΔG), tighter binding, and less structural deviation in the order EGFR > HER-2 > ER > PR as compared to Palbociclib (HER-2 > ER > PR = EGFR). These results indicate that Dabrafenib, compared to Palbociclib, more effectively regulates breast cancer cell proliferation through specific interactions with hormonal and growth factor receptors towards a repurposing approach.

Unlocking the Therapeutic Potential: Sitagliptin's Multifaceted Approach in Drug-Resistant Epilepsy through a Novel Mechanism Inhibiting Protein Kinase C-γ and a Long-Term Potentiation Pathway.

Drug-resistant epilepsy is a prominent challenge in chronic neurological disorders. Valproate, commonly used to treat epilepsy, can fail due to various side effects and interactions, necessitating the exploration of alternative treatments. Our study primarily investigated sitagliptin's potential as a therapeutic agent for drug-resistant epilepsy. Employing computational modeling and enzyme assay testing, three lead compounds, emixustat, sitagliptin, and distigmine bromide, were evaluated against the target enzyme protein kinase C-γ. In vivo, experiments on a pentylenetetrazolium-induced lamotrigine-resistant epilepsy model were conducted to test sitagliptin's antiseizure effects, compared with the standard phenobarbital treatment. Emixustat and sitagliptin showcased strong inhibitory properties, while distigmine bromide was less effective in the enzyme assay. Mechanistic insights revealed sitagliptin's ability to modulate the seizure grade and first myoclonic jerk latency via oxidative stress markers, like reduced glutathione and glutathione peroxidase emphasizing its antioxidative role in epilepsy. Additionally, it demonstrated anti-inflammatory effects by significantly reducing proinflammatory markers interleukin-1ß and interleukin-6. The modulation of key genes of the long-term potentiation pathway, particularly protein kinase C-γ and metabotropic glutamate receptor 5, was evident through mRNA expression levels. Finally, sitagliptin showed potential neuroprotective properties, limiting pentylenetetrazolium-induced neuronal loss in the hippocampal region. Collectively, our findings suggest sitagliptin's multidimensional therapeutic potential for drug-resistant epilepsy specifically via a long-term potentiation pathway by inhibiting protein kinase C-γ.

The Role of Liquid Biopsy in Neuroblastoma: A Scoping Review.

BACKGROUND: Neuroblastoma (NBL), is the most common, non-CNS solid tumor of childhood. This disease presents with unique biological and clinical challenges necessitating accurate diagnosis, prognosis assessment, treatment, and vigilant monitoring. Liquid biopsy is an upcoming, innovative, and non-invasive diagnostic modality. It has the potential to detect tumors and perform therapeutic monitoring through the analysis of circulating biomarkers in blood, urine, saliva, and other bodily fluids. METHODOLOGY: This scoping review offers an in-depth exploration, of the current landscape of liquid biopsy-based biomarkers in NBL. The review looks at the clinical implications, prevalent challenges, and future outlook of their clinical applications in NBL. The scoping review adhered to the guidelines of the PRISMA extension for scoping reviews, known as PRISMA-ScR, as the skeletal framework. The review involved comprehensive searches for liquid biopsy-based biomarkers in NBL across multiple databases, including PUBMED, EMBASE, SCOPUS, and WEB of Science, without restrictions. RESULTS: The scoping review process uncovered a significant body of literature (n = 201) that underwent meticulous scrutiny, ultimately leading to the final selection of studies (n = 15). The liquid biopsy biomarkers included circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), exosomes, and other entities in bodily fluids. Their evaluation focused on associations with clinical outcomes such as overall survival, event-free survival, and risk stratification in NBL. CONCLUSION: Our findings highlight the potential of liquid biopsy biomarkers to revolutionize NBL diagnosis and therapeutic monitoring. This rapidly evolving frontier in pediatric oncology suggests significant advancements in precision medicine for the management of NBL.

Alkyne-azide "click" chemistry in designing nanocarriers for applications in biology.

The alkyne-azide cycloaddition, popularly known as the "click" reaction, has been extensively exploited in molecule/macromolecule build-up, and has offered tremendous potential in the design of nanomaterials for applications in a diverse range of disciplines, including biology. Some advantageous characteristics of this coupling include high efficiency, and adaptability to the environment in which the desired covalent linking of the alkyne and azide terminated moieties needs to be carried out. The efficient delivery of active pharmaceutical agents to specific organelles, employing nanocarriers developed through the use of "click" chemistry, constitutes a continuing topical area of research. In this review, we highlight important contributions click chemistry has made in the design of macromolecule-based nanomaterials for therapeutic intervention in mitochondria and lipid droplets.

Tumor size dependent MNP dose evaluation in realistic breast tumor models for effective magnetic hyperthermia.

The goal of the current investigation is to determine the breast tumor size-dependent MNP (Magnetic nano-particle) dose (mg/cm3) that can induce the required therapeutic effects during magnetic nanoparticle hyperthermia (MNH). The investigation is done through the MNH simulations on the tumor models generated from DCE_MRI DICOM images of breast cancer from TCIA ('The Cancer Imaging Archive'). Five tumor models are created from MRI data using 3D slicer software having size range of 3 cm3 to 15 cm3. The FEM-based solver (COMSOL multi-physics) is used to simulate bioheat transfer physics in all five extracted models. Single and multi-point injection strategies have been adopted to induce MNP in tumor tissues. The required MNP dose that may induce necessary therapeutic effects is evaluated by comparing the therapeutic effects produced by constant dose (CD) (5 mg/cm3) and variable reduced dose (RD) (5.5-2.8 mg/cm3) methodologies. Results show that for the requisite therapeutic effects, injected MNP doses (mg/cm3) should not remain constant as the size of the tumor increases. In fact, MNP dose  (mg/cm3) should be reduced as the size of the tumor increases. Results also show that RD works better with a multi-injection strategy than a single injection of MNP. It has been found that the effective MNP dose  (mg/cm3) is reduced by 50 % for the biggest tumor size (15 cm3) using multi-injection MNP delivery with respect to the smallest tumor (3 cm3) selected in this study.

Effects of injection rates and tissue diffusivity in magnetic nano-particle hyperthermia.

Effects of injection rate and tumor physiology on the diffusion of magnetic nano-particles (MNPs) and temperature profile during magnetic hyperthermia are investigated in this work. The study considers three injection rates (2.5 µL/min, 10 µL/min, and 40 µL/min), and two MNP diffusion coefficients (10-9 m2/s and 10-11 m2/s). The simulation of this physics has been done on 3D tumor surrounded by healthy tissue. Transient MNP distribution in tissue is evaluated using Darcy's flow model and the MNP transport (convection-diffusion) equation. The temperature profile in the tumor model is computed by solving Penne's bioheat transfer equation (PBHTE). Results show tumors with high collagen content (with low MNP diffusivity) are more restrictive towards MNP transport than tumors having low collagen content. Thus, tumors with low MNP diffusivity need a higher injection rate to increase the homogeneity of MNP concentration as well as temperature profile during thermo-therapy. Results also show that, MNP fluid injected with a higher injection rate produces a more uniform MNP concentration up to greater depth than the lower injection rate.

An Atomic Level Investigation of Sodium Ions Regulating Agonist and Antagonist Binding in the Active Site of a Novel Target 5HT2BR Against Drug-Resistant Epilepsy.

The study investigates the movement of sodium ions inside the ligand-binding pocket of the class-A GPCR serotonin receptor (5HT2BR), a primary target for modern drugs. The available PDBs are mutant chimeras, so a 3D structure is modeled and validated by structural similarity (84.05%), Ramachandran favorable residues (93.01%), and clash score. Using MD simulations (500 ns), the ion active site is tracked in the presence and absence of ions and ligands. The ions enter the active site along helices III, VI, and VII, and the primary residue (ASP3.32) interacts with ions via H-bond (stronger- ~2.4 Å). The radial distribution function around ASP3.32 rises promptly at intermediate distances (2 Å < r < 4 Å), suggesting a higher probability of finding sodium ions at these distances. The ions stabilize the receptor at a better RMSD and promote stronger interactions (3-H-bonds, 1-π-bond~3.35 Å) with the agonist, and not the antagonist (no H-bond). Simulating unrestrained ligands further confirms this pattern, suggesting that ions might promote agonist binding but not be a prerequisite for antagonist action. The study highlights the mechanistic evaluation of sodium ions mobility in 5HT2BR modulation and ligand binding, showing potential in drug development.

Dual functionality of pyrimidine and flavone in targeting genomic variants of EGFR and ER receptors to influence the differential survival rates in breast cancer patients.

Breast cancer ranks as one of the most prevalent forms of cancer and stands as the primary global cause of mortality among women. Overexpression of EGFR and ER receptors or their genomic alterations leads to malignant transformation, disease aggression and is linked to poor patient survival outcomes. The clinical breast cancer patient's genomic expression, survival analysis, and computational drug-targeting approaches were used to identify best-hit phytochemicals for therapeutic purposes. Breast cancer patients have genomic alterations in EGFR (4%, n = 5699) and ER (9%, n = 8461), with the highest proportion being missense mutations. No statistically significant difference was observed in the patient survival rates between the altered and unaltered ER groups, unlike EGFR, with the lowest survival rates in the altered group. Computational screening of natural compound libraries (7711) against each EGFR (3POZ) and ER (3ERT) receptor shortlists the best-hit 3 compounds with minimum docking score (ΔG = -7.9 to -10.8), MMGBSA (-40.16 to -51.91 kcal/mol), strong intermolecular H-bonding, drug-like properties with least kd, and ki. MD simulation studies display stable RMSD, RMSF, and good residual correlation of best-hit common compounds (PubChem ID: 5281672 and 5280863) targeting both EGFR and ER receptors. In vitro, studies revealed that these common drugs exhibited a high anti-proliferative effect on MCF-7 and MDA-MB-231 breast cancer cells, with effective IC50 values (15-40 µM) and lower free energy, kd, and ki (5281672 > 5280863 > 5330286) much affecting HEK-293 non-cancerous cells, indicating the safety profile. The experimental and computational correlation studies suggest that the highly expressed EGFR and ER receptors in breast cancer patients having poor survival rates can be effectively targeted with best-hit common potent drugs with a multi-target therapeutic approach. Insight Box: The findings of this study provide valuable insights into the genomic/proteomic data, breast cancer patient's survival analysis, and EGFR and ER receptor variants structural analysis. The genetic alterations analysis of EGFR and ER/ESR1 in breast cancer patients reveals the high frequency of mutation types, which affect patient's survival rate and targeted therapies. The common best-hit compounds affect the cell survival patterns with effective IC50, drug-like properties having lower equilibrium and dissociation constants demonstrating the anti-proliferative effects. This work integrates altered receptor structural analysis, molecular interaction-based simulations, and ADMET properties to illuminate the identified best hits phytochemicals potential efficacy targeting both EGFR and ER receptors, demonstrating a multi-target therapeutic approach.

Allosteric modulation of conserved motifs and helices in 5HT2BR: Advances drug discovery and therapeutic approach towards drug resistant epilepsy.

The 5HT2BR, class-A GPCR is a new target, and its significance for seizure reduction in Dravet syndrome is just now gaining interest, suggesting its specific role in epileptic seizure management. Homology modeling of human 5HT2BR (P41595), was performed using a template 4IB4, the modeled structure was cross-validated (stereo chemical hindrance, Ramachandran plot, enrichment analysis) to mimic a closer native structure. Virtual screening (8532 compounds), drug-likeliness, mutagenicity, and carcinogenicity profiling prioritized six compounds for molecular dynamics (500 ns), Rgyr, DCCM. The receptor's C-alpha fluctuation upon bound agonist (6.91 Å), known antagonist (7.03 Å), and LAS 52115629 (5.83 Å) binding varies, leading to receptor stabilization. The residues C-alpha side-chain in active site strongly interacts (hydrogen bonds) with bound agonist (100% interaction: ASP135), known antagonist (95%:ASP135), and LAS 52115629 (100%:ASP135). The Rgyr for receptor-ligand complex, LAS 52115629 (25.68 Å), lies close to bound agonist-Ergotamine, and DCCM analysis also shows strong positive correlations for LAS 52115629 as compared to known drugs. LAS 52115629 is less likely to cause toxicity than known drugs. The structural parameters in the modeled receptor's conserved motifs (DRY, PIF, NPY) were altered for receptor activation upon ligand-binding, which otherwise was in the in-activated state. The ligand (LAS 52115629)-binding further alters the helices-III, V, VI (G-protein bound), and VII, which form potential interacting sites with the receptor and are proven necessary for activating the receptor. Therefore, LAS 52115629 can act as a potential 5HT2BR agonist, targeting drug-resistant epilepsy.Communicated by Ramaswamy H. Sarma.

Designing the 5HT2BR structure and its modulation as a therapeutic target for repurposing approach in drug-resistant epilepsy.

The study intends to repurpose FDA drugs and investigate the mechanism of (5HT2BR) activation by comprehending inter-residue interactions. The 5HT2BR is a novel thread, and its role in reducing seizures in Dravet syndrome is emerging. The crystal structure (5HT2BR) is a chimera with mutations; hence 3D-structure is modeled (4IB4: 5HT2BRM). The structure is cross-validated to simulate the human receptor using enrichment analysis (ROC: 0.79) and SAVESv6.0. Virtual screening of 2456 approved drugs yielded the best hits that are subjected to MM/GBSA and molecular dynamic (MD) simulations. The 2 top drugs Cabergoline (-53.44 kcal/mol) and Methylergonovine (-40.42 kcal/mol), display strong binding affinity, and ADMET/SAR analysis also suggests their non-mutagenic or non-carcinogenic nature. Methylergonovine has a weaker binding affinity and lower potency than standards [Ergotamine (agonist) and Methysergide (antagonist)] due to its higher Ki (1.32 M) and Kd (6.44 ×10-8 M) values. Compared to standards, Cabergoline has moderate binding affinity and potency [Ki = 0.85 M and Kd = 5.53 × 10-8 M]. The top 2 drugs primarily interact with conserved residues (ASP135, LEU209, GLY221, ALA225, and THR140) as in agonists, unlike the antagonist. The top 2 drugs, upon binding to the 5HT2BRM, modify the helices VI, V, and III and shift the RMSD 2.48 Å and 3.07 Å. LEU209 forms a latch with residues 207-214 (forms a lid) in the 5HT2BRM receptor, which enhances agonist binding and prevents drug escape. Methylergonovine and Cabergoline interact more stongly with ALA225 than the antagonist. The post-MD analysis of Cabergoline suggests a better MM/GBSA value (-89.21 kcal/mol) than Methylergonovine (-63.54 kcal/mol). In this study, Cabergoline and Methylergonovine's agonistic mechanism and solid binding properties suggest their strong role in regulating the 5HT2BR and might target drug-resistant epilepsy.

Structure and dynamic simulation-based interactions of benzenoids, pyrroles and organooxygen compounds for effective targeting of GPX4 in ischemic stroke.

The discovery of a novel drug for ischemic stroke is plagued by expensive and unsuccessful outcomes. FDA-approved drugs could be a viable repurposing strategy for stroke therapy. Emerging evidence suggests the regulating role of Glutathione peroxidase (GPX4) in stroke and attracts as a potential target. To overcome limited therapeutic interventions, a drug repurposing in silico investigation of FDA-approved drugs is proposed for the GPX4 receptor in distinctive species (Homo sapiens and Mus musculus). The GPX4 UniProt wild type ids, that is, P36969 (Homo sapiens), P36970 (Rattus norvegicus) and O70325 (Mus musculus) are Swiss modelled, and resultant templates are 2OBI and 6HN3 for Homo sapiens, and 5L71 for Mus musculus with a sequence identity of ∼88%. Enrichment analysis reveals high sensitivity and ranked actives with ROC and AUC values of 0.59 and 0.61, respectively. Virtual screening at extra precision resulted hit Acarbosum, is similar between 2OBI and 6HN3, demonstrating a multiple-target specificity and Iopromide, targeting 2OBI. MD simulation at 100 ns following trajectory analysis provides RMSD (∼1.2-1.8Å), RMSF (∼1.6-2.7Å), Rgyr (∼15-15.6Å) depicting stabilisation of receptor-ligand complexes. Furthermore, average B-factor value of 2OBI, 6HN3 and 5L71 is 25Å, 24Å and 60Å with a defined resolution of 1.55Å, 1.01Å and 1.80Å, respectively, depicting the thermodynamic stability of the protein structures. The dynamic cross-correlation and principal component analysis of residual fluctuations reveal more positive correlation, high atomic displacements and greater residual clustering of residues from atomic coordinates. Therefore, Acarbosum, an FDA-approved drug, could act as a potential repurposing drug with a multi-target approach translating from preclinical to clinical stages.Communicated by Ramaswamy H. Sarma.